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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 1100
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     newsp
    -0.87
     skelet
    -0.84
     unemploy
    -0.78
    gres
    -0.74
     depressed
    -0.69
     strugg
    -0.68
     sharks
    -0.67
    awaru
    -0.67
     dives
    -0.66
     subsequ
    -0.66
    POSITIVE LOGITS
    orn
    1.27
    è£ħ
    0.73
    oline
    0.70
    ãĥ©ãĥ³
    0.69
     Mechdragon
    0.69
    ?????-?????-
    0.67
    è¦ļéĨĴ
    0.67
    ORN
    0.66
    idium
    0.63
    >]
    0.62
    Activations Density 0.000%

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